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. 2022 Apr 1;9:147. doi: 10.1038/s41597-022-01250-4

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 4 — Pearson correlation coefficients of model response time series used as regressors in the GLM analysis of the audio-description (blue; see Table 3 for a description) and audio-visual movie (red; see Table 3). Values are rounded to the nearest tenth. The correlation between the two stimuli’s root mean square volume and between their left-right difference in volume yielded the highest correlation values (fg_ad_rms and fg_av_ger_rms, r = 0.7635; fg_ad_lrdiff and fg_av_ger_lrdiff, r = 0.7749).